Bridging the View Disparity Between Radar and Camera Features for Multi-Modal Fusion 3D Object Detection-Reference-Cited by-同舟云学术

Bridging the View Disparity Between Radar and Camera Features for Multi-Modal Fusion 3D Object Detection

Published:2023-02 Issue:2 Volume:8 Page:1523-1535
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Zhou Taohua¹^ORCID,Chen Junjie¹^ORCID,Shi Yining¹^ORCID,Jiang Kun¹^ORCID,Yang Mengmeng¹^ORCID,Yang Diange¹^ORCID

Affiliation:

1. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10076483/10027465.pdf?arnumber=10027465

Reference47 articles.

1. Radar and camera early fusion for vehicle detection in advanced driver assistance systems;lim;Proc Mach Learn Auton Driving Workshop 33rd Conf Neural Inf Process Syst,0

2. A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

3. CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

4. You Only Look Once: Unified, Real-Time Object Detection

5. BEVDET: High-performance multi-camera 3D object detection in bird-eye-view;huang,2021

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